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» Solving Hierarchical Optimization Problems Using MOEAs
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119
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ACIIDS
2012
IEEE
307views Database» more  ACIIDS 2012»
13 years 8 months ago
A Hybrid Evolutionary Imperialist Competitive Algorithm (HEICA)
This paper proposes a new approach by combining the Evolutionary Algorithm and Imperialist Competitive Algorithm. This approach tries to capture several people involved in communit...
Fatemeh Ramezani, Shahriar Lotfi, M. A. Soltani-Sa...
ECAI
2006
Springer
15 years 2 months ago
Calibrating Probability Density Forecasts with Multi-Objective Search
Abstract. In this paper, we show that the optimization of density forecasting models for regression in machine learning can be formulated as a multi-objective problem. We describe ...
Michael Carney, Padraig Cunningham
177
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ISTA
2007
15 years 2 months ago
Analytical data modeling of investment project financing process
: The present work is devoted to the research of investment projects’ financing issues. Within this paper a data analytical tool for an optimal financing schema computation on th...
Mikhail D. Godlevskiy, Valentina V. Moskalenko, Vl...
93
Voted
TSMC
1998
78views more  TSMC 1998»
15 years 13 days ago
Automata learning and intelligent tertiary searching for stochastic point location
—Consider the problem of a robot (learning mechanism or algorithm) attempting to locate a point on a line. The mechanism interacts with a random environment which essentially inf...
B. John Oommen, Govindachari Raghunath
100
Voted
APCSAC
2005
IEEE
15 years 6 months ago
Rule-Based Power-Balanced VLIW Instruction Scheduling with Uncertainty
Abstract. Power-balanced instruction scheduling for Very Long Instruction Word (VLIW) processors is an optimization problem which requires a good instruction-level power model for ...
Shu Xiao, Edmund Ming-Kit Lai, A. Benjamin Premkum...